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Company News : Basho Data Platform Provides Simplicity for Big Data
on 2015/5/27 10:06:29 (1108 reads)
Company News

Basho Technologies, the creator and developer of Riak, the distributed NoSQL database software, has announced the Basho® Data Platform, developed to simplify the operation and integration challenges of deploying and managing big data, Internet of Things (IoT) and hybrid cloud applications. The Basho Data Platform integrates Riak KV (formerly Riak), a distributed NoSQL database, and Riak S2 (formerly Riak CS), object storage software, with Apache Spark for in-memory analytics, Redis caching for increased performance and Apache Solr for enhanced query capabilities, significantly enhancing productivity for development and operations teams.

The Basho Data Platform is purpose-built to simplify operations for organizations needing database scalability, multi-model support and seamless integration with complementary technologies. In a recent survey of Riak users conducted by TechValidate, more than 50 percent of respondents indicated that they are using Riak in multiple applications. The survey also showed that more than 40 percent have deployed Redis and an additional 42 percent are using Apache Solr. Responses to the survey indicated a widespread use of multiple technologies in supporting the data performance and storage needs of big data applications. All of these technologies have their own integration challenges and development skillsets.

The Basho Data Platform has been developed to address these challenges by reducing the complexity of integrating and deploying big data application technology components together. It includes NoSQL databases, caching and in-memory analytics, which are required for active workloads. The Basho Data Platform controls the replication and synchronization of data between components of these highly distributed applications and supports multiple database models including key value and object storage. It integrates and simplifies management of big data applications for use in public, private and hybrid cloud environments.

Basho Data Platform Features and Benefits

* Real-time Analytics with Apache Spark Connector
* The Basho Data Platform enables real-time, in-memory analytics with Apache Spark, featuring high-availability of data, easy-to-use cluster synchronization and Spark cluster management without using Zookeeper.
* Integrated Caching with Redis
* Enhanced read performance with integrated Redis caching lets users easily replicate and sync data from Riak KV to Redis cache. The Redis services managed by the Basho Data Platform simplify the current manual coding required in big data applications and can improve read performance. Built-in cluster management, high-availability and automatic data sharding makes Redis enterprise-grade.
* Riak Search with Apache Solr
* Brings together the strengths of Riak’s scalable, distributed database with the powerful full-text search functionality of Apache Solr. This allows for transparent indexing and querying of Riak data values. In addition, there is direct support for Solr client query APIs, which enables integration with existing software solutions (either homegrown or commercial).
* Simplified Operations with Orchestration Services
* Basho Data Platform cluster management enables download and deployment of instances of Riak KV, Apache Spark and Redis. It allows you to auto-detect and auto-restart failed instances to ensure optimized operations and high availability. It eliminates the need for Zookeeper with Spark to maintain configuration information, naming and providing distributed synchronization. For Redis, easily shard data automatically between multiple cache servers reducing the time and errors associated with implementing manual sharding.
* Simplified Development using Data Replication and Synchronization
* Replicating and synchronizing data and indexes allows seamless data access and data accuracy, significantly decreasing the chance of data loss should an instance of Redis or Spark become unavailable due to network, system or other connectivity failures. It automates synchronization of Solr and Riak KV indexes and replicates and synchronizes data between Riak KV and Redis cache.

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